| Literature DB >> 30779856 |
Hsing-Fang Lu1,2, Kuo-Sheng Hung3,4,5, Hou-Wei Chu6, Henry Sung-Ching Wong1,3, Jihye Kim7,8, Mi Kyung Kim7,8, Bo Youl Choi7,8, Yu-Ting Tai9, Shiro Ikegawa2, Er-Chieh Cho1,3,10, Wei-Chiao Chang1,3,11,12,13.
Abstract
The stiffness index (SI) from quantitative ultrasound measurements is a good indicator of BMD and may be used to predict the risk of osteoporotic fracture. We conducted a genomewide association study (GWAS) for SI using 7742 individuals from the Taiwan Biobank, followed by a replication study in a Korean population (n = 2955). Approximately 6.1 million SNPs were subjected to association analysis, and SI-associated variants were identified. We further conducted a meta-analysis of Taiwan Biobank significant SNPs with a Korean population-based cohort. Candidate genes were prioritized according to epigenetic annotations, gene ontology, protein-protein interaction, GWAS catalog, and expression quantitative trait loci analyses. Our results revealed seven significant single-nucleotide polymorphisms (SNPs) within three loci: 7q31.31, 17p13.3, and 11q14.2. Conditional analysis showed that three SNPs, rs2536195 (CPED1/WNT16), rs1231207 (SMG6), and rs4944661 (LOC10050636/TMEM135), were the most important signals within these regions. The associations for the three SNPs were confirmed in a UK Biobank estimated BMD GWAS; these three cytobands were replicated successfully after a meta-analysis with a Korean population cohort as well. However, two SNPs were not replicated. After prioritization, we identified two novel genes, RAB15 and FNTB, as strong candidates for association with SI. Our study identified three SI-associated SNPs and two novel SI-related genes. Overall, these results provide further insight into the genetic architecture of osteoporosis. Further studies in larger East Asian populations are needed.Entities:
Keywords: GENOME-WIDE ASSOCIATION STUDY; HEEL BONE MINERAL DENSITY; OSTEOPOROSIS; STIFFNESS INDEX; TAIWAN BIOBANK
Year: 2019 PMID: 30779856 DOI: 10.1002/jbmr.3703
Source DB: PubMed Journal: J Bone Miner Res ISSN: 0884-0431 Impact factor: 6.741